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Introduction

Leverage textual data for your business by unlocking key customer indicators using text analytics
Analysis of textual content is one of the critical business steps not typically implemented in today's data warehouse and business intelligence appliances. This is also true of integration of text analysis in business processes. As unstructured content becomes the core of our communication channels, text analysis solutions need to be innovated and adaptable to the changes in your business in order for you to stay competitive. By overlooking this important information, you could be missing the opportunity to better meet your customer's demands.

Rapid-I offers innovative text analytics solutions that support all of your company's data needs where textual content is available, needs to be processed or can be analyzed. In this newsletter, we explore Daniel Yuen and Hanns Koehler-Kruener's insightful report on "Who's Who in Text Analytics", and provide real business scenarios where Rapid-I text analytics solutions help your business reveal what your customers are thinking and show how easy it is to deploy these solutions within your company.

Dr. Ingo Mierswa
CEO and Founder, Rapid-I



  • Who's Who in Text Analytics
  • Daniel Yuen | Hanns Koehler-Kruener
  • 14 September 2012
  • Text analytics has become increasingly important for many use cases but the market consists of numerous vendors many of which are using immature technologies. Our Who's Who will help IT leaders find a vendor to suit their particular needs.
Key Findings
  • Powerful trends like social media and e-discovery have driven IT leaders in business analytics (BA) and enterprise content management (ECM) to look at text analytics.
  • Most text analytics offerings support a single use case well but vendors often claim more general capabilities.
  • A small number of factors keep text analytics from being the simple, powerful solution that many users want. They include immature technology, difficulty meshing with a larger ecosystem, the diversity of use cases and the fact that text analytics is not a single market.
Recommendations
  • If text analytics serves a strategic purpose in your organization, create a centralized program to enable an efficient and coordinated approach to implementation.
  • If text analytics are only for specific tactical purposes look for niche, "best-of-breed" vendors to support different use cases rather than trying to find products that can solve all problems or attempting to force unsuitable products do things they aren't meant to do.
  • For external social media analysis you should look mostly toward the providers of software as a service (SaaS) solutions.

Rapid-I Content

  • Benefits of Text Analytics
  • Textual data – a challenge for your company
    Apart from common structured data, huge amounts of textual data are lying dormant in company databases or are hidden in the vastness of the Internet. This is increasingly prevalent as more and more communication is shifting towards digital communication channels like e-mail and social networks.
  • Case Study: GfK
  • Situation
    The GfK group is one of the leading market research enterprises worldwide, operates in more than 100 countries and has over 11,000 employees. GfK provides services for all major consumer goods, pharmaceutical, media and service markets. These services are divided into two sectors: Consumer Choices and Consumer Experiences. Consumer Choices supplies data reflecting consumer decisions and activities. Consumer Experiences is concerned with consumer behavior and attitudes and how people perceive and experience the world.
  • Product Details
  • Rapid-I Text Analytics Solutions
    Rapid-I Text Analytics is available as an extension to the flagship products RapidMiner and RapidAnalytics which provide a comprehensive and extensive business analytics software suite. RapidMiner and RapidAnalytics cover the complete range of business analytics application requirements: from data loading, data transformation and consolidation, to statistical modeling and predictive analytics through reporting and creating interactive dashboards. Using the text analytics extension is the obvious addition to this suite when it comes to analyzing textual data.